Automatic Web service composition aims at combining several existent web services to generate composite web service automatically that satisfies more complex user requests. The process of automatic web service composition comprised of pre-processing phase, service discovery and ranking phase and planning, verification and execution phase. A domain-ontology-based Particle Swarm Optimization (PSO) inspired Balanced Iterative Reducing and Clustering using Hierarchies (BIRCH) method was used in the pre-processing phase. It filtered the noisy data and clustered the web services. The matching and ranking problem is considered in the discovery and ranking phase where the web services were discovered by Improved Bipartite Graph (IBG) and the discovered web services were ranked by Quality of Service (QoS) based fuzzy ranking algorithm. A Petrinet based model was used for planning, verification and execution of web services. In this model, the web services can be directly mapped into the Petrinet. In this paper, the planning, verification and execution of web services is improved by including multiple QoS such as availability, reliability, time, cost, accuracy, accessibility, modifiability and security in Petrinet model. Based on the multiple QoS parameters, the Petrinet model verified the composition plan. It describes the static vision of a system and dynamic behavior of processes. The Petrinet with multi QoS models the internal operations of web services, interactions among them and the processes in all phases of automatic web service composition process.

Automatic web service composition, Petrinet based model, Petrinet with multiple QoS, Verification of composite web service, optimal selection of composition plan

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